Summary
Highlights
Andre Cusid, co-founder and CEO of Miro, welcomes everyone to Canvas 25, live from New York City. He highlights the impressive lineup of speakers and mentions that the event will be touring various cities worldwide. Cusid also thanks the sponsors, including Adobe Express, AWS, Google Workspace, and others. He reiterates Miro's core mission of fostering collaboration and helping teams innovate, announcing a new milestone of 100 million users.
Cusid discusses the transformative power of AI but warns against its siloed application, which can hinder overall project speed. He argues that AI should enhance teamwork and collaboration, not just individual productivity. Miro's canvas is presented as the ideal space for integrating AI and human intelligence, fostering 'team intelligence' by combining AI's ability to expand ideas with human judgment and empathy. Miro is launching the 'AI Innovation Workspace' to facilitate this co-creation.
Jeff Chow, CPTO of Miro, elaborates on the AI Innovation Workspace, emphasizing its goal to bring AI closer to where teams do their most impactful work: on the canvas. He introduces three major updates: Visual Context Processing, enhanced Sidekicks (conversational AI agents that understand the canvas content), and Flows (visual, automated multi-step AI workflows). These features aim to eliminate busy work, break down silos, and accelerate team progress.
Bri, a Miro team member, demonstrates the new features by using Sidekicks and Flows to plan a treehouse project. Starting with a mood board, the 'Treehouse Sidekick' helps generate design options and clarifies requirements. Flows are then used to automate the creation of a project plan, including a video, project brief, Kanban board, and resource list, all staying interactive and collaborative on the canvas.
Jeff Chow emphasizes that the platform supports existing AI investments and tools, integrating with major AI platforms and models. Miro allows users to bring their own AI keys and connects with organizational knowledge bases through partnerships with Glean, Amazon Q, and Google Gemini Enterprise. The introduction of MCP support enables seamless data flow between Miro and other AI systems like Cursor, Lovable, and OpenAI codecs. Sidekicks and Flows can also be customized within blueprints and templates to standardize workflows.
Jeff announces Miro for Product Acceleration, a comprehensive solution designed to accelerate product teams from idea to outcome. This initiative includes ten new integrated products focused on eliminating bottlenecks in the product development lifecycle. Jake, Emma, and Wukosh from the Miro team present these new products.
Jake introduces Miro Portfolios and Roadmaps, products designed to connect strategy to execution. Miro Portfolios provide a dashboard to track progress against goals, while Miro Roadmaps offer detailed views, timelines, and live integrations with tools like Jira. These tools help teams understand their impact and re-evaluate priorities collaboratively on the canvas.
Emma showcases Miro Insights and Miro Prototypes for rapid iteration and customer-centric development. Miro Insights synthesizes customer feedback from various sources, providing meaningful data directly on the canvas. Prototypes allow for quick generation of interactive designs based on project briefs, enabling fast iteration and collaborative refinement with AI assistance.
Wukosh presents Miro Technical Design, which allows engineering teams to solidify technical direction alongside other functions. The MCP server reads live codebase to generate diagrams of existing systems on an editable canvas, providing a single source of truth. Mirospecs further bridge the gap between planning and code by creating a comprehensive definition of work that feeds directly into AI code generation tools. This enables AI to execute tasks based on a rich, live context, accelerating development without manual prompting.
The keynote concludes by summarizing the AI Innovation Workspace, featuring the AI Canvas, Sidekicks, and Flows. It highlights the ability to customize these tools with personal AI, knowledge, and systems, all built on a foundation of AI trust with security and compliance. Miro for Product Acceleration, a suite of ten new products, is also reiterated as a key offering. These new features are rolling out in beta, and users are encouraged to sign up on miro.com or contact their account team for early access.